Jobs at Microsoft

Advise enterprise executives on Azure cloud and AI strategies, lead architectural design workshops, and guide secure, scalable solution implementations. Drive Azure consumption, committed pipeline, customer success, renewals, and expansion across AI, infrastructure, applications, and data workloads. Resolve technical and business challenges, support account planning and deal execution, maintain advanced cloud certifications, and mentor technical communities.

Build and scale compute infrastructure for AI workloads across large GPU clusters. Responsibilities include cluster orchestration, workload scheduling, resource allocation, quota management, topology-aware placement, runtime initialization, fault recovery, observability, and utilization optimization. The role partners with researchers and model-development teams to deliver reliable infrastructure for distributed training and inference.

Lead research and development of enterprise-scale retrieval, ranking, personalization, and RAG systems for Microsoft 365 Copilot. Design experiments, evaluation frameworks, retrieval models, and scalable pipelines across Search, Chat, and Agent experiences. Collaborate with engineering, product, Microsoft Research, and Azure AI teams to ship production systems, improve relevance and grounding, apply responsible AI practices, and mentor scientists and engineers.

Support senior leaders through organizational growth, change, and transformation. Design workforce strategies, organizational structures, and operating models; improve team effectiveness and organizational health; lead talent planning, succession, hiring alignment, and capability development; identify talent risks using workforce insights; and build high-performing, accountable teams supporting AI engineering studios and customer outcomes.

Leads strategic customer engagements focused on application modernization, AI, agentic solutions, and developer technologies. Designs architectures, demonstrations, proofs of concept, pilots, and hackathons using Azure, Microsoft Foundry, GitHub, containers, Kubernetes, APIs, data, and AI. Builds technical strategy, orchestrates Microsoft and partner resources, resolves technical blockers, mentors peers, develops reusable assets, and provides customer and market feedback to product and engineering teams.

Researches and applies advanced machine learning, NLP, and information retrieval techniques to improve Microsoft 365 Copilot Chat and Search quality. Responsibilities include developing vector retrieval and embedding solutions, analyzing user journeys and model behavior, evaluating search relevance, adapting large language models, and partnering with engineering and product teams. The role also involves building scalable evaluation tools, mining data for opportunities, and contributing to internal or published research.

Leads threat hunting, digital forensics, incident response, and threat intelligence investigations across on-premises and cloud environments. The role analyzes advanced adversary activity, develops hunting methodologies and security tooling, identifies attacker tactics and indicators, advises customers, influences security products, and mentors team members. Expertise includes KQL or comparable query languages, SIEM and EDR platforms, Microsoft security technologies, Azure, Microsoft 365, Entra ID, forensic data, and sophisticated APT or nation-state threats.

Build distributed software, control planes, APIs, and automation for hyperscale AI and HPC compute infrastructure. Responsibilities include cluster provisioning, Kubernetes platform foundations, node and fleet health, hardware qualification, lifecycle management, diagnostics, remediation, safe rollouts, and reliability improvements. The role requires cross-team technical leadership and hands-on development across cloud, datacenter, operating-system, networking, storage, and hardware boundaries.

Leads complex technical pre-sales engagements focused on application modernization, AI-powered applications, agentic experiences, and developer platforms. Designs architectures, demonstrations, proofs of concept, pilots, and hackathons using Azure, Microsoft Foundry, GitHub, containers, Kubernetes, APIs, data, and AI. Builds customer and partner relationships, shapes technical strategy, resolves blockers, develops reusable assets, mentors peers, and provides market feedback to product and engineering teams.

Leads strategic EMEA AI and cloud transformation engagements, defining Azure AI Foundry architectures for agents and RAG systems. Guides architecture workshops, pilots, governance, model routing, evaluation, observability, FinOps economics, security, Responsible AI, sovereignty, and regulatory controls. Provides principal-level technical leadership, executive communication, design assurance, coaching, and escalation support while creating reusable regional delivery patterns and informing global product and practice roadmaps.

Own the production health, reliability, performance, and operational readiness of a multi-rail Ethernet backend network supporting frontier-scale AI supercomputers. Diagnose failures across network, hardware, firmware, drivers, and distributed workloads; lead major incidents; build monitoring and remediation automation; qualify capacity; improve routing and placement; and coordinate cross-functional root-cause resolution.

Researcher on Microsoft AI’s Pretraining Data team, creating and evaluating large-scale datasets for frontier AI models. Responsibilities include designing data collection strategies, developing scalable ingestion and processing pipelines, analyzing dataset quality and diversity, building auditing and visualization tools, conducting data ablation experiments, and collaborating on privacy, ethics, safety, and responsible AI standards.

Leads consultative cybersecurity solution sales for UK and Ireland customers, developing opportunities, building pipelines, and closing complex cloud-based security deals. The role involves engaging business and technology decision-makers, delivering technical security discussions and demonstrations, collaborating with partners and internal teams, analyzing competitors, forecasting, and executing account and deal strategies. It also requires mentoring colleagues, supporting digital transformation, and expanding Microsoft Security adoption among small and medium enterprises.

Design, build, test, deploy, and operate secure, reliable, scalable software and services. Partner with customers and stakeholders to translate business needs into technical solutions, lead technical workstreams, and deliver production-ready outcomes. Apply engineering best practices including code reviews, testing, CI/CD, observability, documentation, and security compliance. Develop reusable components, prototype rapidly, incorporate feedback, and collaborate with data science, product, design, and security teams. The role may involve AI and LLM-based solutions and travel up to 25%.

Leads data center site integration, operational readiness, network and edge operations, and AI infrastructure deployment across EMEA. Manages multidisciplinary teams, vendors, budgets, risks, governance, and executive stakeholder alignment while ensuring safety, security, quality, compliance, availability, and environmental standards. Partners across engineering, construction, commissioning, deployment, and operations to transition new facilities into successful ongoing operations and drive continuous improvement.

Product Management Interns identify customer needs, analyze market opportunities, define product vision and strategy, prioritize roadmap features, track OKRs and performance metrics, collaborate with design, engineering, marketing, and business teams, and gather customer feedback throughout product development.

Supports experienced Customer Success Account Managers in executing customer success plans across customer health, cloud adoption, AI transformation, and Unified Success. Coordinates milestones, delivery activities, virtual teams, account insights, customer meeting preparation, and operational tracking. Progressively assumes customer-facing responsibilities, including standard scoping calls, presentations, value capture, and Unified activities while helping monitor customer outcomes, adoption, risks, and contract health.

Serve as a clinician embedded in an engineering-heavy Health AI team to prototype, prompt, build agents, define evaluations, create datasets and LLM scorers, ensure safety/ethics/privacy, bridge clinical and product teams, and guide clinical direction and prioritization.

Provides strategic legal support for complex technology transactions across EMEA. Responsibilities include developing negotiation strategies, drafting and negotiating commercial, procurement, partnership, investment, and technology agreements, advising on AI and emerging technology models, addressing intellectual property and data protection issues, managing escalations, and coordinating cross-functional stakeholders to close high-impact deals.

Leads strategic sales pursuits and account growth for high-growth startups, scale-ups, and unicorns across the UK. Builds executive relationships, identifies customer opportunities, develops account plans, and orchestrates Microsoft teams across engineering, marketing, finance, legal, and business functions. Drives complex Azure and AI engagements from opportunity development through execution, increasing revenue, cloud consumption, market share, and long-term customer value.